Today, we're announcing Kosmos, our newest AI Scientist, available today. Kosmos makes fully autonomous scientific discoveries at scale by analyzing datasets and literature, and is the most powerful agent for science so far. Beta users estimate that Kosmos does 6 months of work in a single day.

Extremely excited to announce the recipients of the 2025 FutureHouse Independent Postdoctoral Fellowship! You might already know of them or their work, these are some of the absolute best rising stars in biology research today. 1/5

In addition to open-ended analysis, Finch can also do directed data analysis. In this example, we had it do a differential expression and functional enrichment analysis of some RNAseq data (GEO accession GSE87466). 4/

Introducing Finch, a new agent that fully automates data-driven discovery in biology. We are launching a closed beta for it today (sign up below).

This is still early, but impressive, maybe similar to a good 1st yr grad student. 1/

Today, FutureHouse is releasing the first dedicated AI Agents for Science, via our Platform. These agents are able to perform a wide variety of scientific tasks better than humans. With the platform, we are bringing these capabilities to the wider community. 1/2

Applications for the FutureHouse Independent Postdoctoral Fellowship are due in two weeks! $125k annual stipend, full access to our resources, be coadvised by world class professors and apply our AI science agents to make new discoveries. Apply!

Details here: www.futurehouse.org/fellowship

The info session for our FutureHouse fellowship is TOMORROW, Tuesday, 9:00am Pacific time. Come get all your questions answered! Details are on our website: www.futurehouse.org/fellowship

Now for an AI generated image that we present as an offering to the Algorithms, may they Boost our Post.

FutureHouse is launching an independent postdoctoral fellowship program for exceptional researchers who want to apply our automated science tools to specific problems in biology and biochemistry, in collaboration with world-leading academic labs. 1/

F1 cars are masterpieces of engineering, and Zak Brown and his team are legends, penalties notwithstanding. Had a blast at my first F1 race, hope to be back soon. Good luck next week in Abu Dhabi…

The figure shows some transcriptional modules uncovered by examining RNA editing, and their associated temporal trajectories, in the monocyte differentiation process. 16/

And, interestingly, this method really seems unique to humans, and maybe other primates; mice have way less endogenous editing by comparison, although you might be able to extend the method to mice using engineered editors. Figure shows age likelihood distributions for individual transcripts. 13/

... the method was relying on sites that were edited relatively quickly, around 10% per hour, but the sites being added by the editor were mostly edited slowly, around 1% per hour (compare left and right in the figure below). 9/

A few years ago, I showed with Linlin Chen, Fei Chen, and others, that we can use RNA editing to infer how old RNAs are, thus allowing us to effectively “look back in time” at what cells were doing hours before we sequenced them (see the figure for an example of what those RNAs looked like). 5/

New on BioRxiv: We report a new, endogenous molecular clock in unmodified human cells and tissues. It is ticking away right now in almost every cell in your body.

Paper here: www.biorxiv.org/content/10.1...

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